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Job Description
Master Data Governance & Standards
Manage, analyze, validate, and maintain master data within assigned business domains Support master data governance processes, standards, and data quality controls Identify and resolve data issues such as duplicates, inconsistencies, missing attributes, and formatting errors Support Deployment of AI-assisted tools for routine data quality monitoring, anomaly detection, duplicate detection, attribute standardization, classification harmonization, and obsolete material management; establish automated audit cycles that continuously assess completeness and accuracy against global standards. Monitor data quality KPIs and prepare reports for governance and business stakeholders Support data creation, change, approval, and retirement workflows Collaborate with ERP, EAM, MDM, and other enterprise system teams to ensure data consistency across platforms Document master data definitions, business rules, workflows, and governance procedures Support data migration, system implementation, and integration projects Ensure compliance with internal governance standards, audit requirements, and applicable regulatory expectations Contribute to continuous improvement initiatives to strengthen enterprise data quality and process efficiency Partner with Process Engineers to ensure process standards and master data templates evolve together; develop and maintain global training materials and documentation for both global and local users. GPDA Authority & LDPA Network
Work closely with LPDAs, data stewards, and system owners to resolve data defects and improve processes Drive the LDPAs governance rhythm: regular cadence for standards updates, compliance reviews, issue escalation, and cross-site read-across of lessons learned, including cross-functional alignment with Engineering/Configuration Management on digital thread policy changes impacting PLM-ERP integration. Analytics Rationalization & Incubation
Establish global reporting standards and data definitions to ensure consistent interpretation of metrics and KPIs across all sites and functions. Build and validate analytics prototypes with frontline teams (including AI-powered data quality and operational analytics tools) proving concepts at small scale before handoff to IT/DT for industrialization. Define and own the prototype-to-scale handoff protocol: documentation standards, data requirements, and acceptance criteria that IT/DT teams need to industrialize a DPE-incubated tool. Required Qualifications
Bachelor's degree in Information Systems, Business Administration, Engineering, Data Management, Computer Science, or a related field 2-5 years of experience in master data, data analysis, data governance, or a related role Experience in energy, utilities, oil and gas, power generation, renewables, manufacturing, or industrial environment preferred Familiarity with enterprise systems such as ERP, EAM, MDM, CRM, or supply chain platforms specifically Oracle or SAP Strong proficiency in Microsoft Excel and data analysis/reporting tools Experience with data validation, cleansing, and reconciliation Ability to interpret business and technical data requirements Strong problem-solving, organizational, and communication skills Ability to work across multiple stakeholders and prioritize competing demands Desired Characteristics
Experience supporting master data for assets, materials, equipment, locations, suppliers, or customers Knowledge of data governance, data stewardship, and data quality practices Familiarity with SQL and reporting tools such as Power BI or Tableau Experience with SAP, Oracle, Maximo, or similar enterprise platforms Understanding of energy industry operations, maintenance processes, supply chain, or asset management Exposure to regulatory, audit, or compliance-driven environments Familiarity with PFEP methodology and its application to MRP, capacity planning, and shop floor execution. Experience with digital integration standards across manufacturing systems (MES, PLM, APS) and the data mapping requirements to enable reliable interfaces. Background in lean manufacturing and standard work deployment, with an understanding of how data quality drives operational performance. Experience building and enabling site-level data stewardship networks (equivalent to LPDA model) across distributed manufacturing environments. Comfortable operating in a dual-ERP environment and translating standards across system boundaries. Analytics prototyping experience using tools such as Power BI, Tableau, or similar; ability to move from concept to working prototype quickly.
Additional Information
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided:
No
For candidates applying to a U.S. based position, the pay range for this position is between $81,700.00 and $136,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on May 29, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Sprachkenntnisse
- English
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